A lexicographical dynamic flow model for relief operations

References

• V. D. Angelis, M. Mecoli, C. Nikoi, and G. Storchi. Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola. Comput. Oper. Res., 34(6):1601–1615, 2007.
   Web of Science ®Google Scholar
• B. Balcik and B. M. Beamon. Facility location in humanitarian relief. Int. J. Logist. Res. Appl., 11(2):101–121, 2008.
   Web of Science ®Google Scholar
• G. Barbarosoglu and Y. Arda. A two-stage stochastic programming framework for transportation planning in disaster response. J. Oper. Res. Soc., pages 43–53, 2004.
   Web of Science ®Google Scholar
• A. Ben-Tal, B. D. Chung, S. R. Mandala, and T. Yao. Robust optimization for emergency logistics planning: risk mitigation in humanitarian relief supply chains. Transp. Res. Part B, 45(8):1177–1189, 2011.
   Web of Science ®Google Scholar
• X. Cai, D. Sha, and C. Wong. Time-varying network optimization. Springer, New York, 2007.
   Google Scholar
• A. Charnes and V. W. Cooper. Management Models and Industrial Applications of Linear Programming. Wiley, New York, 1961.
   Google Scholar
• F. Fiedrich, F. Gehbauer, and U. Rickers. Optimized resource allocation for emergency response after earthquake disasters. Saf. Sci., pages 41–57, 2000.
   Web of Science ®Google Scholar
• GAMS Development Corporation. GAMS - A User's Guide. 2010.
   Google Scholar
• P. Gonçalves. System dynamics modeling of humanitarian relief operations. MIT Sloan Research Paper No. 4704-08, 2008.
   Google Scholar
• A. Haghani and S.C. Oh. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transp. Res. Part A, pages 231–250, 1996.
   Google Scholar
• W. Hamacher, S. Heller, and B. Rupp. Flow location (flowloc) problems: dynamic network flows and location models for evacuation planning. Ann. of Oper. Res., 2011.
   PubMed Web of Science ®Google Scholar
• IBM ILOG. User's Manual for CPLEX 12.4. 2012.
   Google Scholar
• F. Liberatore, C. Pizarro, C. Simón, B. Vitoriano, and M.T. Ortuño. Decision Aid Models for Disaster Management and Emergencies, chapter Uncertainty in Humanitarian Logistics for Disaster Management. Atlantis Press, 2013.
   Google Scholar
• P. Nolz, K. Doerner, W. Gutjahr, and R. Hartl. A bi-objective metaheuristic for disaster relief operation planning. In C. Coello, C. Dhaenens, and L. Jourdan, editors, Advances in Multi-Objective Nature Inspired Computing, volume 272 of Studies in Computational Intelligence, pages 167–187. Springer, Berlin Heidelberg, 2010.
   Google Scholar
• OCHA. Ocha: Office for the coordination of humanitarian affairs. http://ochaonline.un.org/ [date accesed January 8t h 2013], 2013.
   Google Scholar
• M.T. Ortuño, P. Cristobal, J.M. Ferrer, F. J. Martín-Campo, S. Muñoz, G. Tirado, and B. Vitoriano. Decision Aid Models for Disaster Management and Emergencies, chapter Decision Aid Models and Systems for Humanitarian Logistics. A Survey. Atlantis Press, 2013.
   Google Scholar
• M.T. Ortuño, G. Tirado, and B. Vitoriano. A lexicographical goal programming based decision support system for logistics of Humanitarian Aid. TOP, 19:464–479, 2011.
   Web of Science ®Google Scholar
• L. Özdamar, E. Ekinci, and B. Kucukyazici. Emergency logistics planning in natural disasters. Ann. of Oper. Res., pages 217–245, 2004.
   Web of Science ®Google Scholar
• Redhum.org. Red de informació n humanitaria para américa latina y el caribe. http://www.redhum.org/mapas.php [date accesed January 8th 2013], 2013.
   Google Scholar
• C. Romero. Handbook of Critical Issues in Goal Programming. Pergamon Press, Oxford, 1991.
   Google Scholar
• J. B. Sheu. An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transp. Res. Part E, 43(6):687–709, 2007.
   Google Scholar
• G. Tirado, B. Vitoriano, and M.T. Ortuño. A multicriteria dynamic flow model for relief operations. In World Scientific Proceedings Series on Computer Engineering and Information Science 7, pages 9–14, 2012.
   Google Scholar
• G. H. Tzeng, H. J. Cheng, and T. D. Huang. Multiobjective optimal planning for designing relief delivery systems. Transp. Res. Part E, 43(6):673–686, 2007.
   Google Scholar
• Luk. N. Van Wassenhove and Alfonso. J. Pedraza Martinez. Using OR to adapt supply chain management best practices to humanitarian logistics, Int. Trans. Oper. Res., 19:307–322, 2012.
   Web of Science ®Google Scholar
• K. Viswanath and S. Peeta. Multicommodity maximal covering network design problem for planning critical routes for earthquake response. Transp. Res. Rec.: J. Transp. Res. Board, pages 1–10, 2007.
   Google Scholar
• B. Vitoriano, M. T. Ortuño, G. Tirado, and J. Montero. A multi-criteria optimization model for humanitarian aid distribution. J. Glob. Optim., 51(2):189–208, 2011.
   Web of Science ®Google Scholar
• W. Yi and A. Kumar. Ant colony optimization for disaster relief operations. Transp. Res. Part E, 43(6):660–672, 2007.
   Google Scholar
• W. Yi and L. Özdamar. A dynamic logistics coordination model for evacuation and support in disaster response activities. Eur. J. Oper. Res., 179:1177–1193, 2007.
   Web of Science ®Google Scholar